
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Danger medium hits: 6 | Medium-risk: admin panels, config files | +60 | |
| 404 ratio 40-60% | Majority of requests returned 404 — enumeration | +15 | |
| Probe pattern 302->404 same path | Behavioral anomaly detected by automated analysis | +20 | |
| Burst: 6 req / 2s | Abnormally fast request rate — automated scanning | +35 | |
| Foreign referer seen | Referer from unrelated external domain | +10 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
Block scanning from 172.245.149.46: rate-limit 404 responses per IP, deploy a honeypot 404 page, ensure no backup files are web-accessible.
IP 172.245.149.46 is generating excessive traffic. Limit connections per source IP. Enable geographic blocking if traffic from this region is unexpected.
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
Network reconnaissance data from Shodan. Open ports may indicate running services, misconfigurations, or potential attack surfaces.
| Port | Service | Risk | Description |
|---|---|---|---|
| 80 | HTTP | Low | HTTP web server — standard web traffic |
| 1344 | Unknown | Low | Service on port 1344 |
| 3128 | Unknown | Low | Service on port 3128 |
| 8000 | Unknown | Low | Service on port 8000 |
| 8800 | Unknown | Low | Service on port 8800 |
| 52951 | Unknown | Low | Service on port 52951 |
| CVE ID | Link |
|---|---|
| CVE-2016-10003 | NVD → |
| CVE-2020-15811 | NVD → |
| CVE-2019-12521 | NVD → |
| CVE-2020-8517 | NVD → |
| CVE-2020-8450 | NVD → |
| CVE-2023-49286 | NVD → |
| CVE-2025-59362 | NVD → |
| CVE-2019-12520 | NVD → |
| CVE-2019-12525 | NVD → |
| CVE-2019-12519 | NVD → |
| CVE-2023-49288 | NVD → |
| CVE-2021-31808 | NVD → |
| CVE-2025-54574 | NVD → |
| CVE-2021-28652 | NVD → |
| CVE-2020-15810 | NVD → |
| CVE-2023-50269 | NVD → |
| CVE-2022-41318 | NVD → |
| CVE-2024-45802 | NVD → |
| CVE-2021-28116 | NVD → |
| CVE-2019-12524 | NVD → |
| CVE-2024-25617 | NVD → |
| CVE-2018-19132 | NVD → |
| CVE-2019-12528 | NVD → |
| CVE-2019-18860 | NVD → |
| CVE-2024-37894 | NVD → |
🔴 Security scanning identified 59 vulnerability entries on this host. This volume strongly suggests severely outdated software. Consult NVD advisories for details.
Data source: Shodan InternetDB. Scanned independently of abuse.mom.
This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.
Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.
172.245.149.46 has been assigned a threat score of 140/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
The following attack categories were identified:
Our monitoring infrastructure has identified 172.245.149.46, geolocated to Buffalo, United States, operating on the network of HostPapa, as a source of suspicious network activity. The address has been active for 1 days in our monitoring system, producing 1 flagged requests at a rate of ~1/day. Operating from a residential network, this IP may represent a compromised home gateway or IoT device that has been drafted into a larger attack infrastructure. Two attack patterns were identified (Path Enumeration and Request Flooding), suggesting a semi-automated campaign that targets multiple vulnerabilities. With 201 flagged addresses, United States represents a significant presence in our threat database. At 140/100, this is an extremely high-risk address. All traffic should be considered hostile.
This IP is classified as residential, suggesting it may belong to a compromised home device, IoT botnet member, or an infected personal computer. Residential IPs involved in attacks often indicate malware infection without the owner's knowledge.
Credential stuffing uses stolen username-password pairs from data breaches to attempt logins across many websites. Since users frequently reuse passwords, these automated attacks achieve success rates of 0.1-2%, which translates to thousands of compromised accounts from millions of attempts.
Analyzing User-Agent strings reveals automated tools masquerading as legitimate browsers. Inconsistencies between claimed browser capabilities and actual behavior, impossible version combinations, and known scanner signatures help identify malicious clients.